sem_eval_2018_task_1

הפניות:

subtask5.english

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.english')

תיאור :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

רישיון : אין רישיון ידוע
גרסה : 1.1.0
פיצולים :

לְפַצֵל	דוגמאות
`'test'`	3259
`'train'`	6838
`'validation'`	886

מאפיינים :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}

subtask5.ספרדית

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.spanish')

תיאור :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

רישיון : אין רישיון ידוע
גרסה : 1.1.0
פיצולים :

לְפַצֵל	דוגמאות
`'test'`	2854
`'train'`	3561
`'validation'`	679

מאפיינים :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}

subtask5.ערבית

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:sem_eval_2018_task_1/subtask5.arabic')

תיאור :

SemEval-2018 Task 1: Affect in Tweets: SubTask 5: Emotion Classification.
 This is a dataset for multilabel emotion classification for tweets.
 'Given a tweet, classify it as 'neutral or no emotion' or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.'
 It contains 22467 tweets in three languages manually annotated by crowdworkers using Best–Worst Scaling.

רישיון : אין רישיון ידוע
גרסה : 1.1.0
פיצולים :

לְפַצֵל	דוגמאות
`'test'`	1518
`'train'`	2278
`'validation'`	585

מאפיינים :

{
    "ID": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "Tweet": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "anger": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "anticipation": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "disgust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "fear": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "joy": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "love": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "optimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "pessimism": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "sadness": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "surprise": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "trust": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    }
}